Comparison of cloud-based ai-powered and user-controlled software in terms of 3D visualization for interior design

Interior design is an interdisciplinary field that integrates aesthetics, functionality, and user experience. Throughout history, visualization methods have undergone significant transformations with the advancements in technology, aiming to express and communicate design ideas more effectively. Traditional analog methods, such as sketching, perspective drawing, and model-making, have provided foundational tools for design. Meanwhile, digital technologies, including 2D and 3D modeling, virtual reality, and augmented reality, have made the design process more dynamic and impactful. In recent years, the incorporation of artificial intelligence (AI) into visualization processes has introduced substantial innovations in the design industry. AI accelerates data processing and decision-making, enabling time savings and optimizing computational power. This thesis compares manual rendering methods with AI-supported visualization systems. A loft-style apartment model was used to evaluate the performance of both approaches within a structured framework. Manual methods were observed to excel in providing detailed control and professional quality, whereas AI-supported systems demonstrated advantages in speed, accessibility, and computational efficiency. However, it was also identified that AI systems introduce certain limitations by constraining creative control. Surveys and statistical analyses conducted during the research revealed that users found manual methods superior in criteria such as realism, lighting naturalness, and material detailing. Conversely, AI systems were preferred for their speed and ease of use. Consequently, it was concluded that these two methods could complement each other in interior design workflows. This study serves as a guide for interior design students and professionals, helping them understand the advantages and limitations of visualization technologies. In the future, AI technologies are expected to offer greater customization and enhanced creative control. Keywords: Interior Design, Aı-Supported Design, Photorealistic Visualization, Digital Modeling, Design Process Analysis, Cloud-Based Visualization Software